datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nart-100k-synthetic-buddy-mixed-namesDataset Modifications
Renamed the patient with all these names: https://github.com/dominictarr/random-name/blob/master/names.txt
Renamed the therapist with "Buddy"
Modification Script is included in the repo
Original dataset card: https://huggingface.co/datasets/jerryjalapeno/nart-100k-synthetic
Keep in mind that this dataset is entirely synthetic. It is not fully representative of real therapy situations. If you are training an LLM therapist keep in mind the limitations of LLMs and… See the full description on the dataset page: https://huggingface.co/datasets/victunes/nart-100k-synthetic-buddy-mixed-names.thea-name-overrides
Dataset Card for Thea Name Overrides Dataset
Dataset used to replace the built in name definitions explaining the name of the AI model, you can replace all name fields to change your model's name.
Dataset Details
The data has been generated using Llama 3.2 3B on Kaggle in an hour.
As all AI models have their name definition usually set, this dataset serves a purpose to align your model to believe its name is different.
A high rank LoRA is required to apply this… See the full description on the dataset page: https://huggingface.co/datasets/lunahr/thea-name-overrides.dispensary-product-name-extraction
Dispensary Product Name Extraction
Raw Dutchie POS listing names paired with a canonical, human-corrected
clean name in "Strain - Type" form. Powers a fine-tuned Gemma 3 270M
generative model that rewrites messy listing names into consistent
product names, see the paired model repo,
acidtib/dispensary-product-name-gemma3.
Fields
rawName: the raw listing name as synced from Dutchie.
brand: brand name, or empty string if the listing had none.
category /… See the full description on the dataset page: https://huggingface.co/datasets/acidtib/dispensary-product-name-extraction.nick_name_from_hiroiki-ariyoshi
data format
{
"name": "person_name",
"nickname": "person_nickname"
}